The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 21, 2023

Filed:

Jun. 20, 2018
Applicant:

Hcl Technologies Limited, Noida, IN;

Inventors:

S U M Prasad Dhanyamraju, Hyderabad, IN;

Satya Sai Prakash Kanakadandi, Hyderabad, IN;

Sriganesh Sultanpurkar, Hyderabad, IN;

Karthik Leburi, Hyderabad, IN;

Vamsi Peddireddy, Hyderabad, IN;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 5/02 (2023.01); G06F 17/18 (2006.01); G06F 16/958 (2019.01); G06N 20/20 (2019.01); G06N 3/126 (2023.01); G06N 3/04 (2023.01); G06N 20/10 (2019.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/047 (2023.01); G06N 5/01 (2023.01);
U.S. Cl.
CPC ...
G06N 5/02 (2013.01); G06F 16/986 (2019.01); G06F 17/18 (2013.01); G06N 20/20 (2019.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/047 (2023.01); G06N 3/0409 (2013.01); G06N 3/126 (2013.01); G06N 5/01 (2023.01); G06N 20/10 (2019.01);
Abstract

The present disclosure relates to system(s) and method(s) for tuning an analytical model. The system builds a global analytical model based on modelling data received from a user. Further, the system analyses a target eco-system to identify a set of target eco-system parameters. The system further selects a sub-set of model parameters, corresponding to the set of target eco-system parameters, from a set of model parameters. Further, the system generates a local analytical model based on updating the global analytical model, based on the sub-set of model parameters and one or more PMML wrappers. The system further deploys the local analytical model at each node, from a set of nodes, associated with the target eco-system. Further, the system gathers test results from each node based on executing the local analytical model. The system further tunes the sub-set of model parameters associated with the local analytical model using federated learning algorithms.


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